Data Engineer (SMTS / LMTS) - MDM (Washington)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.The ExperienceSalesforce is building the most comprehensive understanding of business relationships across our global customer ecosystem. A critical pillar of this effort is Master Data Management (MDM): the systems that identify, enrich, deduplicate, and govern every business entity and corporate hierarchy we interact with.We are seeking talented engineers at the Senior Member of Technical Staff (SMTS) and Lead Member of Technical Staff (LMTS) levels to join our MDM Engineering organization. In these roles, you will design, develop, and operate critical MDM capabilities — including entity resolution, golden record management, corporate hierarchy automation, and enterprise data integration solutions — while leveraging modern AI technologies to build developer tools, engineering automation, and productivity accelerators across the MDM ecosystem.At the LMTS level, you will drive technical strategy, architect end-to-end platforms, and provide cross-functional leadership. At the SMTS level, you will serve as a hands-on technical leader with a bias for action, translating architecture into scalable, production-grade systems. Both roles partner closely with Product Management, Data Governance, Architecture, Systems Integrator partners, and downstream consuming teams.What You'll Actually Be DoingDesign, develop, and maintain AI-powered developer tools, engineering automation, and productivity accelerators using modern AI platforms such as Claude, Cursor, Windsurf, GitHub Copilot, and related technologiesBuild and maintain end-to-end MDM integration systems, including MuleSoft integrations, Airflow-based workflows, API orchestration layers, event-driven architectures, Change Data Capture (CDC), and batch processing pipelinesImplement entity resolution, golden record lifecycle management, hierarchy processing, data quality validation, and governance capabilitiesBuild and maintain integrations with third-party data providers such as Dun & Bradstreet, Moody's, and Leadspace to support data enrichment and corporate hierarchy managementDesign and optimize data models, database schemas, APIs, and integration patterns supporting MDM business requirements across hierarchical, relational, and party data structuresBuild production-grade solutions with strong monitoring, alerting, operational supportability, and security by designDrive adoption of AI-assisted software engineering practices to improve developer productivity, testing efficiency, and delivery speedParticipate in design reviews, code reviews, operational readiness reviews, and release activitiesTroubleshoot complex production issues, drive root cause analysis, and implement scalable long-term solutionsCollaborate effectively with globally distributed teams across multiple time zonesLMTS additionally:Architect and evolve end-to-end MDM integration systems and define technical strategy for entity resolution, golden record lifecycle, hierarchy management, data quality, and governance across multiple business domainsLead design reviews and establish engineering standards for scalability, observability, resiliency, security, testing, and operational excellencePartner with PMTS, Product Owners, TPMs, and business stakeholders to define architecture, roadmap priorities, solution designs, and delivery plans aligned with business objectivesProvide technical leadership across internal engineering and systems integrator teamsYou're Our Person If...Minimum Qualifications — SMTS (8+ years experience):8+ years of experience in software engineering, data engineering, enterprise integration, or MDM platformsProven experience leveraging modern AI-assisted development platforms (Claude, Cursor, Windsurf, GitHub Copilot, or similar) to improve engineering productivityStrong understanding of Generative AI and agentic workflows and their practical application within software engineering organizationsStrong hands-on experience with Informatica SaaS MDM , particularly with party data models including Account, Contact, Organization, and SupplierStrong hands-on development experience with Java, REST APIs, microservices, and enterprise integration patternsExperience building MuleSoft integrations, API orchestration services, Airflow workflows, ETL/ELT pipelines, and large-scale data engineering solutionsExperience with Kafka or similar event-streaming technologies, CDC, and event-driven architecturesExperience with AWS, GCP, or Azure cloud services and cloud-native application developmentStrong knowledge of SQL, data modeling, database design, and distributed data processing architecturesExcellent communication and collaboration skillsA related technical degree requiredMinimum Qualifications — LMTS (10+ years experience):10+ years of progressive experience in enterprise integration, data engineering, MDM, or large-scale data platform developmentDeep expertise in MDM concepts including entity resolution, golden record lifecycle, match/merge/survivorship, data quality, governance, and hierarchy managementProven experience designing and building API orchestration layers, MuleSoft integrations, microservices, and event-driven architecturesProven experience building developer tools using modern AI tech stack like Claude, Cursor etc. in MDM domain.Demonstrated technical leadership, cross-functional collaboration, and ability to drive multiple complex initiatives from design through deliveryExcellent communication skills with the ability to influence stakeholders across all levels of the organizationA related technical degree requiredEven Better If...Experience with Salesforce Data Cloud, CRM platforms, or broader Salesforce ecosystem technologiesExperience working with corporate hierarchy data from Dun & Bradstreet, Moody's, or Leadspace, including family tree traversal, DUNS resolution, monitoring, and registration workflowsExperience building Python-based data engineering frameworks and automation solutionsExperience with data stewardship, governance processes, and operational data quality toolingExperience with Retrieval-Augmented Generation (RAG), vector databases, AI agents, MCP frameworks, or related AI technologiesExperience building internal developer platforms, engineering productivity tools, or agentic solutions supporting enterprise engineering teamsDemonstrated track record of driving measurable engineering productivity improvements through AI-enabled tooling and automationCertifications in MDM, data management, cloud platforms, MuleSoft, Informatica, or related technologiesUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variet